加权系数

• Considering the character of tvm guidance and the signal received by radar antenna , the extended kalman filter is used to track single target . 2 . study the data fusion algorithm used in tvm guidance
  由于传统加权平均的融合方法在整个数据融合过程中,其加权系数为常数,若用于实际情况中,会降低跟踪精度。
• In iimom , the general concept of model parameter vector , which refers to the parameter vector determined by the designer in the multi - objective optimization model ( such as the weight vector in the weighted - sum meth
  在mom中，给出了模型参数向量的一般概念，表示多目标优化模型中需要由设计者设定的参数向量(如加权系数法中的权重向量) 。
• In this thesis , the application of combined hybrid method to axisymmetric elasticity problem and the optimization of combined hybrid axisymmetric finite elements are discussed in a manner of combination of mathematical analysis with numerical investigation
  本文从理论分析和数值实验的角度研究了组合杂交法在轴对称弹性力学问题上的应用和加权系数优化的原则。
• The data during launching weapon is analyzed transiently . this paper also adopt effective methods of the weighted average and the arithmetic means to the processing of the sampling data . at last , the measurement result illustrates the effectiveness of the method
  加权系数反映了各通道的灵敏度,对武器发射时瞬态冲击进行了瞬态分析,对测量数据进行加权平均和算术平均处理,方法行之有效,最后给出测量结果。
• Based on the forecasting theory of the optimization weighted array , an optimization weighted array model with a runoff response linear model and a time sequential model is developed to predict daily runoff , and the optimal weighting coefficients are derived by the least square method
  摘要根据最优加权组合预测原理，建立了径流响应线性模型和时间序列模型的优化加权组合模型，以预测日径流，依据最小二乘法原理确定其优化加权系数。
• In order to realize the optimum arrangement of elevators , the evaluation function and ambiguity function for dispatching elevators are established , and the optimum weight coefficients of the different factors in the estimating function are obtained with the aid of the bp neural networks self - learning function
  摘要通过构造用于派梯选择的评价函数，在建立隶属度函数的基础上，利用前向神经网络自学习功能获得评价函数中各个因素的最佳加权系数，实现最佳派梯。
• A developed simple m - s model for image segmentation in geometric active contour model is presented based on intra - region similar and inter - region dissimilar properties . the model constructs an energy ( cost ) function , which is made of intra - region variations and weighting squares of subtraction of region mean values . using gradient - descent methods , the energy function is minimized and we get a curve evolution equation that segments image
  基于区域内一致性加权区域间差异性构造能量函数,利用最陡梯度法使能量函数最小化,提出了一种改进的简化mumford - shah ( m - s )图像分割模型,该模型利用区域内方差描述区域内一致性,区域间平均灰度值之差的平方描述区域间差异性,实验结果表明,通过调节加权系数,该模型对弱边界图像分割具有较强的适应性。
• So , we propose another novel algorithm using the cubic spline interpolation along the relevant direction and computing weights by trigonometric function of the gradients . the algorithm also adopts the correlation between color channels . and it proved highly effective based on some tests
  鉴于此,本文接着提出了一种基于三次样条函数在相关方向进行插值以及利用梯度的三角函数关系来计算相关性加权系数的混合型插值方案,并结合了考虑不同颜色通道间的相关耦合关系。
• At the same time , the observers of nonlinear system with and without uncertainty have been analyzed and designed based on the input - output linearization theory . the training rule for the weights of the rbf nns has been proposed in the paper based on the known system model and given lyapunov function . the simulation shows effectivity of the designed observer
  在设计含有建模不确定性的系统的观测器时，用rbf神经网络对不确定性进行建模，在给定lyapunov函数的基础上设计了神经网络加权系数的调整规律并将非线性观测器应用于神经网络实现的动态逆控制系统，设计了仿真对其有效性进行了比较验证。